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Back to Supervised Machine Learning: Regression and Classification

Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
25,380 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Top reviews

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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2851 - 2875 of 4,970 Reviews for Supervised Machine Learning: Regression and Classification

By Sina O

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Dec 23, 2022

This course was very great and Exciting for me.

By 呂皓恩

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Dec 3, 2022

Very good course for learning Machine Learning.

By Jesper

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Oct 7, 2022

High quality material and very well explained.

By Niraj K

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Sep 29, 2022

this course very intresting and i enjoyed alot

By Tanawat C

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Aug 18, 2022

This course give me first course to learn to th

By Oscar M L

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Aug 7, 2022

Muy claro y buen material. Sencillo de aprobar.

By Rithvik S

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Jul 23, 2022

Its just a beginner friendly course intro to ML

By Ying Z

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Jul 12, 2022

Challenging and exciting course for beginners.

By Dave K

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Jul 8, 2022

The course was great and I recommend it highly!

By Andres F Q E

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Aug 1, 2024

Excellent content and outstanding explanations

By Anup L

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Jul 22, 2024

Best course to start Machine learning journey.

By Huynh N

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Jul 17, 2024

Well structure and appropriate for new learner

By Ali D

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Jun 3, 2024

The course was fantastic and highly practical.

By Mohammad A W

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May 16, 2024

The best course ever. Thank you for making it.

By Hongwei Y

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Jan 29, 2024

Just need inclusive presentation for the final

By Mahmoud G

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Dec 31, 2023

It is a very organized and informative course.

By Sridhar I

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Nov 19, 2023

Fantastic course on intro to machine learning!

By Ali G

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Nov 18, 2023

Andrew Ng is the best professor i've ever seen

By Shayan S

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Oct 24, 2023

One of the best courses to learn step by step!

By Lookman O S

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Aug 3, 2023

The best machine learning course ever seen !!!

By Jann P C S

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Jul 25, 2023

The information is accurate and well explained

By Abhishek M

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Jun 30, 2023

Great Experience and helped me develop myself.

By Sohail A

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Jun 28, 2023

It was a very effective and informative course

By 2K21-CO-454 S

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Jun 20, 2023

Prof. Andrew is just a marvelous instructor!!!

By Muhammad H A

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May 14, 2023

Loved the learning experience. Easy to follow.